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2019 | OriginalPaper | Buchkapitel

Design and Development of Efficient Algorithms for Iris Recognition System for Different Unconstrained Environments

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Abstract

One of the important concepts of identification of human beings in various sectors across the universe is the biometrics. In this paper, a brief report of the biometric recognition is being presented in a nutshell. This paper gives a brief conceptual view of the research work done on the topic titled, “Design and Development of Efficient Algorithms for Iris Recognition System for Different Unconstrained Environments” as the research topic chosen.

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Literatur
1.
Zurück zum Zitat Daugman J (2004) How iris recognition works. IEEE Trans Circuits Syst Video Technol 14(I):21–30 Daugman J (2004) How iris recognition works. IEEE Trans Circuits Syst Video Technol 14(I):21–30
2.
Zurück zum Zitat Daugman J (2004) Recognizing persons by their iris patterns. In: Proceedings of Advances in Biometric Person Authentication, vol 3338, pp 5–25 Daugman J (2004) Recognizing persons by their iris patterns. In: Proceedings of Advances in Biometric Person Authentication, vol 3338, pp 5–25
3.
Zurück zum Zitat Daugman J (2007) New methods in iris recognition. IEEE Trans Syst Man Cybern Part B-Cybern 37(5):1167–1175 Daugman J (2007) New methods in iris recognition. IEEE Trans Syst Man Cybern Part B-Cybern 37(5):1167–1175
4.
Zurück zum Zitat Daugman J (2003) The importance of being random: statistical principles of iris recognition. Pattern Recognit 36:279–291CrossRef Daugman J (2003) The importance of being random: statistical principles of iris recognition. Pattern Recognit 36:279–291CrossRef
5.
Zurück zum Zitat Daugman JG, Downing CJ (2001) Epigenetic randomness, complexity & singularity of human iris patterns. Proc R Soc Lond B Biol Sci 268:1737–1740 Daugman JG, Downing CJ (2001) Epigenetic randomness, complexity & singularity of human iris patterns. Proc R Soc Lond B Biol Sci 268:1737–1740
6.
Zurück zum Zitat Zhou Z, Du YZ et al (2009) Transforming traditional iris recognition systems to work in non-ideal situations. IEEE Trans Ind Electr 56(8):3203–3213CrossRef Zhou Z, Du YZ et al (2009) Transforming traditional iris recognition systems to work in non-ideal situations. IEEE Trans Ind Electr 56(8):3203–3213CrossRef
7.
Zurück zum Zitat Daniel DM, Monica B (2010) Person authentication technique using human iris recognition.In: IEEE Conference Paper, pp 265–268. 978-1-4244-8460-7/10/$26.00©2010 Daniel DM, Monica B (2010) Person authentication technique using human iris recognition.In: IEEE Conference Paper, pp 265–268. 978-1-4244-8460-7/10/$26.00©2010
8.
Zurück zum Zitat Li P, Ma H (2012) Iris recognition in non-ideal imaging conditions. Pattern Recogn Lett 33:1–9 Li P, Ma H (2012) Iris recognition in non-ideal imaging conditions. Pattern Recogn Lett 33:1–9
9.
Zurück zum Zitat Karakaya M (2016) A study of how gaze angle affects the performance of iris recognition. Elsevier Sci Direct’s Pattern Recog Lett 82:132–143CrossRef Karakaya M (2016) A study of how gaze angle affects the performance of iris recognition. Elsevier Sci Direct’s Pattern Recog Lett 82:132–143CrossRef
10.
Zurück zum Zitat Fancourt C, Bogoni L, Hanna K, Guo Y, Wildes R, Takahashi N, Jain U (2005) Iris recognition at a distance. In: Proceeding of international conference on audio and video based biometric person authentication, vol 3546, pp 1–13 Fancourt C, Bogoni L, Hanna K, Guo Y, Wildes R, Takahashi N, Jain U (2005) Iris recognition at a distance. In: Proceeding of international conference on audio and video based biometric person authentication, vol 3546, pp 1–13
11.
Zurück zum Zitat Moi SH, Asmuni H, Hassan R, Othman RM (2014) A unified approach for unconstrained off-angle iris recognition. In: International symposium on biometrics & security technologies (ISBAST), pp 39–44. 978-1-4799-6444-4/14/$31.00©2014. IEEE Moi SH, Asmuni H, Hassan R, Othman RM (2014) A unified approach for unconstrained off-angle iris recognition. In: International symposium on biometrics & security technologies (ISBAST), pp 39–44. 978-1-4799-6444-4/14/$31.00©2014. IEEE
12.
Zurück zum Zitat Kaur N, Juneja M (2014) A novel approach for iris recognition in unconstrained environment. J Emerg Technol Web Intell Acad Publishers 6(2):243–246 Kaur N, Juneja M (2014) A novel approach for iris recognition in unconstrained environment. J Emerg Technol Web Intell Acad Publishers 6(2):243–246
13.
Zurück zum Zitat Tsai Y-H (2014) A weighted approach to unconstrained iris recognition. World Acad Sci Eng Technol Int J Comput Inf Eng 8(1):30–33. ISSN:1307-6892 Tsai Y-H (2014) A weighted approach to unconstrained iris recognition. World Acad Sci Eng Technol Int J Comput Inf Eng 8(1):30–33. ISSN:1307-6892
14.
Zurück zum Zitat Shin KY, Nama GP, Jeong DS, Cho DH, Kang BJ, Park KR, Kim J (2012) New iris recognition method for noisy iris images. Elsevier Sci Direct’s Pattern Recogn Lett 33:991–999 Shin KY, Nama GP, Jeong DS, Cho DH, Kang BJ, Park KR, Kim J (2012) New iris recognition method for noisy iris images. Elsevier Sci Direct’s Pattern Recogn Lett 33:991–999
15.
Zurück zum Zitat Chen Y (2010) A high efficient biometrics approach for unconstrained iris segmentation and recognition. Ph.D. Thesis. College of Engineering and Computing, Florida International University, Greater Miami Chen Y (2010) A high efficient biometrics approach for unconstrained iris segmentation and recognition. Ph.D. Thesis. College of Engineering and Computing, Florida International University, Greater Miami
16.
Zurück zum Zitat Roy K, Bhattacharya P et al (2010) Unideal iris segmentation using region-based active contour model. In: Campilho A, Kamel M (eds) ICIAR 2010, Part II. LNCS 6112, © Springer, Berlin, Heidelberg, Germany, pp 256–265 Roy K, Bhattacharya P et al (2010) Unideal iris segmentation using region-based active contour model. In: Campilho A, Kamel M (eds) ICIAR 2010, Part II. LNCS 6112, © Springer, Berlin, Heidelberg, Germany, pp 256–265
17.
Zurück zum Zitat Jan F (2017) Segmentation and localization schemes for non-ideal iris biometric systems. Elsivier’s Sci Direct Jr Signal Proc 133:192–212 Jan F (2017) Segmentation and localization schemes for non-ideal iris biometric systems. Elsivier’s Sci Direct Jr Signal Proc 133:192–212
18.
Zurück zum Zitat Reddy N, Rattani A, Derakhshani R (2016) A robust scheme for iris segmentation in mobile environment. In: IEEE symposium on technologies for homeland security (HST). IEEE, Florida, USA. 978-1-5090-0770-7/16/$31.00©2016 Reddy N, Rattani A, Derakhshani R (2016) A robust scheme for iris segmentation in mobile environment. In: IEEE symposium on technologies for homeland security (HST). IEEE, Florida, USA. 978-1-5090-0770-7/16/$31.00©2016
19.
Zurück zum Zitat Santoso A, Choirunnisa S, Prihasto B, Wang J-C (2016) Improving iris image segmentation in unconstrained environments using NMF-based approach. In: 2016 IEEE international conference on consumer electronics-Taiwan (ICCE-TW). IEEE, pp 27–29. 978-1-5090-2073-7/16/$31.00©2016 Santoso A, Choirunnisa S, Prihasto B, Wang J-C (2016) Improving iris image segmentation in unconstrained environments using NMF-based approach. In: 2016 IEEE international conference on consumer electronics-Taiwan (ICCE-TW). IEEE, pp 27–29. 978-1-5090-2073-7/16/$31.00©2016
21.
Zurück zum Zitat Sahmoud SA, Abuhaiba IS (2013) Efficient iris segmentation ethod in unconstrained environments. Elsivier’s Science Direct Jr. of Pattern Recognition, vol 46, pp 3174–3185 Sahmoud SA, Abuhaiba IS (2013) Efficient iris segmentation ethod in unconstrained environments. Elsivier’s Science Direct Jr. of Pattern Recognition, vol 46, pp 3174–3185
22.
Zurück zum Zitat Mahlouji1 M, Noruzi A (2012) Human iris segmentation for iris recognition in unconstrained environments. IJCSI Int J Comput Sci Issues 9(1), No. 3:149–155. ISSN (Online): 1694-0814 Mahlouji1 M, Noruzi A (2012) Human iris segmentation for iris recognition in unconstrained environments. IJCSI Int J Comput Sci Issues 9(1), No. 3:149–155. ISSN (Online): 1694-0814
23.
Zurück zum Zitat Proenca H (2010) An iris recognition approach through structural pattern analysis methods. Expert Syst 27(1):6–16CrossRef Proenca H (2010) An iris recognition approach through structural pattern analysis methods. Expert Syst 27(1):6–16CrossRef
24.
Zurück zum Zitat Raffei AFM, Hishammuddin A, Hassan R, Othman RM (2013) Feature extraction for different distances of visible reflection iris using multiscale sparse representation of local Radon transforms. Elsivier’s Sci Direct Jr Patt Recogn 46:2622–2633 Raffei AFM, Hishammuddin A, Hassan R, Othman RM (2013) Feature extraction for different distances of visible reflection iris using multiscale sparse representation of local Radon transforms. Elsivier’s Sci Direct Jr Patt Recogn 46:2622–2633
25.
Zurück zum Zitat Haindl M, Krupička M (2015) Unsupervised detection of non-iris occlusions. Elsevier Sci Direct’s Pattern Recogn Lett 57:60–65CrossRef Haindl M, Krupička M (2015) Unsupervised detection of non-iris occlusions. Elsevier Sci Direct’s Pattern Recogn Lett 57:60–65CrossRef
26.
Zurück zum Zitat Barpanda SS, Majhi B, PankajKumar S (2015) Region based feature extraction from non-cooperative iris images using triplet half-band filter bank. Elsevier Sci Direct’s Jr Opt Laser Technol 72:6–14 Barpanda SS, Majhi B, PankajKumar S (2015) Region based feature extraction from non-cooperative iris images using triplet half-band filter bank. Elsevier Sci Direct’s Jr Opt Laser Technol 72:6–14
27.
Zurück zum Zitat Tan C-W et al (2013) Towards online iris & periocular recognition under relaxed imaging constraints. IEEE Trans Image Proc 22(10):3751–3765MathSciNetCrossRefMATH Tan C-W et al (2013) Towards online iris & periocular recognition under relaxed imaging constraints. IEEE Trans Image Proc 22(10):3751–3765MathSciNetCrossRefMATH
28.
Zurück zum Zitat Santos G, Hoyle E (2012) A fusion approach to unconstrained iris recognition. Elsevier Sci Direct’s Pattern Recogn Lett 33:984–990CrossRef Santos G, Hoyle E (2012) A fusion approach to unconstrained iris recognition. Elsevier Sci Direct’s Pattern Recogn Lett 33:984–990CrossRef
29.
Zurück zum Zitat Proença H, Neves JC (2016) Visible-wave length iris/periocular imaging and recognition surveillance environments. Elsevier Sci Direct’s Jr Image Vis Comput 55:22–25 Proença H, Neves JC (2016) Visible-wave length iris/periocular imaging and recognition surveillance environments. Elsevier Sci Direct’s Jr Image Vis Comput 55:22–25
30.
Zurück zum Zitat Liu B, Lam S-K, Srikanthan T, Yuan W (2011) Utilizing dark features for iris recognition in less constrained environments. In: Fourth IEEE international symposium on parallel architectures, algorithms and programming. IEEE Comp Soc, Tianjin, China, pp 110-114. ISBN 978-0-7695-4575-2/11 $26.00©2011, https://doi.org/10.1109/paap.2011.51 Liu B, Lam S-K, Srikanthan T, Yuan W (2011) Utilizing dark features for iris recognition in less constrained environments. In: Fourth IEEE international symposium on parallel architectures, algorithms and programming. IEEE Comp Soc, Tianjin, China, pp 110-114. ISBN 978-0-7695-4575-2/11 $26.00©2011, https://​doi.​org/​10.​1109/​paap.​2011.​51
32.
Zurück zum Zitat Liu J, Sun Z, Tan T (2014) Distance metric learning for recognizing low-resolution iris images. Elsevier Sci Direct’s Jr Neurocomp 144:484–492CrossRef Liu J, Sun Z, Tan T (2014) Distance metric learning for recognizing low-resolution iris images. Elsevier Sci Direct’s Jr Neurocomp 144:484–492CrossRef
33.
Zurück zum Zitat Alvarez-Betancourt Y, Garcia-Silvente M (2016) A key points—based feature extraction method for iris recognition under variable image quality conditions. Elsevier Sci Direct’s Jr Knowl-Based Syst 92:169–182 Alvarez-Betancourt Y, Garcia-Silvente M (2016) A key points—based feature extraction method for iris recognition under variable image quality conditions. Elsevier Sci Direct’s Jr Knowl-Based Syst 92:169–182
34.
Zurück zum Zitat Hu Y, Sirlantzis K, Howells G (2015) Exploiting stable and discriminative iris weight map for iris recognition under less constrained environment. In: 7th IEEE international conference on biometrics theory, applications and systems (BTAS), Arlington, VA, USA, ISBN: INSPEC Accession Number: 15668109, https://doi.org/10.1109/btas.2015.7358759, 8–11 Sept 2015 Hu Y, Sirlantzis K, Howells G (2015) Exploiting stable and discriminative iris weight map for iris recognition under less constrained environment. In: 7th IEEE international conference on biometrics theory, applications and systems (BTAS), Arlington, VA, USA, ISBN: INSPEC Accession Number: 15668109, https://​doi.​org/​10.​1109/​btas.​2015.​7358759, 8–11 Sept 2015
35.
Zurück zum Zitat Hu Y, Sirlantzis K, Howells G (2017) A novel iris weight map method for less constrained iris recognition based on bit stability and discriminability. Elsevier Sci Direct’s Jr Image Vis Comput 58:168–180 Hu Y, Sirlantzis K, Howells G (2017) A novel iris weight map method for less constrained iris recognition based on bit stability and discriminability. Elsevier Sci Direct’s Jr Image Vis Comput 58:168–180
36.
Zurück zum Zitat Arya KV, Gupta A, Kumar G, Singhal P (2012) A novel approach to minimize the impact of non ideal samples in iris recognition system. In: Third IEEE international conference on computer and communication technology. IEEE Comp Soc, Allahabad, U.P., India, pp 352–356. 978-0-7695-4872-2/12 $26.00©2012 IEEE, https://doi.org/10.1109/iccct.2012.77, 23–25 Nov 2012 Arya KV, Gupta A, Kumar G, Singhal P (2012) A novel approach to minimize the impact of non ideal samples in iris recognition system. In: Third IEEE international conference on computer and communication technology. IEEE Comp Soc, Allahabad, U.P., India, pp 352–356. 978-0-7695-4872-2/12 $26.00©2012 IEEE, https://​doi.​org/​10.​1109/​iccct.​2012.​77, 23–25 Nov 2012
Metadaten
Titel
Design and Development of Efficient Algorithms for Iris Recognition System for Different Unconstrained Environments
verfasst von
M. R. Prasad
T. C. Manjunath
Copyright-Jahr
2019
DOI
https://doi.org/10.1007/978-3-030-00665-5_89

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